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Backend Engineer, Data Infrastructure - Platform (Campus Recruitment 2026)

Shopee • 🌐 In Person

In Person Posted 10 hours, 16 minutes ago

Job Description

About The Team

Shopee will be prioritizing applicants who have a

current right to work in Singapore

, and

do not require Shopee sponsorship of a visa

.

Kindly note that you can only be considered in

one recruitment process at a time within Sea Group

and will be considered for jobs in the order that you have applied.

We are building a central one-stop big data platform that provides end-to-end data solutions to empower thousands of users — including data engineers, BI analysts, operations staff, and backend developers — with tools for efficient data management, development, task scheduling, governance, and visualization.

Our platform supports massive-scale business needs across e-commerce, digital finance, supply chain, and more.

Job Description

Participate in the design, development, and maintenance of core products within the big data ecosystem, including:RAM, DataMap, DataStudio, Scheduler System, Data Dashboard, etc.

Write high-quality, efficient, scalable, and maintainable backend code.

Collaborate closely with product managers, engineers, and QA to deliver robust, production-ready features.

Continuously improve system performance, reliability, and developer experience.

Take part in system architecture design and product roadmap discussions, contribute to the long-term technical evolution and big picture of our products.

Requirements

Bachelor's degree or above in Computer Science, Software Engineering, or related fields.

Solid understanding of computer science fundamentals, including: data structures \& algorithms, operating systems, networking, distributed systems.

Proficient in at least one backend programming language: Java, Python, or Go.

Familiar with relational databases (e.g., MySQL) and middleware technologies (e.g., Redis, Kafka).

Understanding of HTTP protocol, RESTful API design, and microservice architecture.

Preferred Qualifications

Internship or project experience related to: backend system development, big data infrastructure.

Familiarity with big data technologies, such as: Hadoop, Spark, Flink, Presto, StarRocks etc.

Strong debugging and problem-solving skills in large-scale systems.

Proficiency in Java, and hands-on experience with: Spring Boot, Spring Cloud, MySQL, Redis, Kafka.

Contributions to open-source projects or technical blogs.

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